Abstract-The structure of microvasculature cannot be resolved using standard clinical ultrasound (US) imaging frequencies due to the fundamental diffraction limit of US waves. In this work, we use a standard clinical US system to perform in vivo sub-diffraction imaging on a CD1, female mouse aged 8 weeks by localizing isolated US signals from bubbles flowing within the ear microvasculature, and compare our results to optical microscopy. Furthermore, we develop a new technique to map blood velocity at super-resolution by tracking individual bubbles through the vasculature. Resolution is improved from a measured lateral and axial resolution of 112 µm and 94 µm respectively in original US data, to super-resolved images of microvasculature where vessel features as fine as 19 µm are clearly visualized. Velocity maps clearly distinguish opposing flow direction and separated speed distributions in adjacent vessels, thereby enabling further differentiation between vessels otherwise not spatially separated in the image. This technique overcomes the diffraction limit to provide a non-invasive means of imaging the microvasculature at super-resolution, to depths of many centimeters. In the future, this method could noninvasively image pathological or therapeutic changes in the microvasculature at centimeter depths in vivo.

Ultrasound provides a valuable tool for medical diagnosis offering real-time imaging with excellent spatial resolution and low cost. The advent of microbubble contrast agents has provided the additional ability to obtain essential quantitative information relating to tissue vascularity, tissue perfusion and even endothelial wall function. This technique has shown great promise for diagnosis and monitoring in a wide range of clinical conditions such as cardiovascular diseases and cancer, with considerable potential benefits in terms of patient care. A key challenge of this technique, however, is the existence of significant variations in the imaging results, and the lack of understanding regarding their origin. The aim of this paper is to review the potential sources of variability in the quantification of tissue perfusion based on microbubble contrast-enhanced ultrasound images. These are divided into the following three categories: (i) factors relating to the scanner setting, which include transmission power, transmission focal depth, dynamic range, signal gain and transmission frequency, (ii) factors relating to the patient, which include body physical differences, physiological interaction of body with bubbles, propagation and attenuation through tissue, and tissue motion, and (iii) factors relating to the microbubbles, which include the type of bubbles and their stability, preparation and injection and dosage. It has been shown that the factors in all the three categories can significantly affect the imaging results and contribute to the variations observed. How these factors influence quantitative imaging is explained and possible methods for reducing such variations are discussed.

Ultrasound (US) is a widely used clinical imaging modality that offers penetration depths in tissue of >10 cm. However, the spatial resolution in US imaging is fundamentally limited by diffraction to approximately half the wavelength of the sound wave employed. The spatial resolution of optical microscopy is limited by the same fundamental physics, but in recent years super-resolution imaging techniques have been developed that overcome the diffraction limit through the localization of many spatially separated photo-switchable or photo-activatable fluorophores. In this paper, we apply a related approach to demonstrate super-resolution imaging with US. We imaged dilute suspensions of microbubble contrast agents flowing through narrow tube-based phantoms. By spatially localizing multiple spatially isolated microbubbles, we constructed super-resolved microbubble location density maps that clearly resolve features 5.1-2.2 times smaller than the US system point spread function full width half maximum in the lateral and axial directions respectively. Our initial characterization experiment using a fixed 100 µm diameter brass wire and a US frequency of 2 MHz suggests that for an ideal stationary point scatterer the ultimate resolution of the unmodified clinical US system used could be in the range of 2-4 µm.

SAE with SH U 508A improves the conspicuity of metastases. SAE-specific defects may reveal isoechoic or subtle metastases.

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